Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add graniet/kheish --skill jupyter-live-kernelgit clone --depth 1 https://github.com/graniet/kheishWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/graniet/kheish/jupyter-live-kernel)<a href="https://agentmods.dev/skills/graniet/kheish/jupyter-live-kernel"><img src="https://agentmods.dev/badge/skills/graniet/kheish/jupyter-live-kernel/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/graniet/kheish/jupyter-live-kernel"><img src="https://agentmods.dev/badge/skills/graniet/kheish/jupyter-live-kernel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 96 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00070 | $0.01589 |
| Opus 5 | $0.00035 | $0.00794 |
| Sonnet 5 | $0.00014 | $0.00318 |
| Haiku 4.5 | $0.00007 | $0.00159 |
Grade A, and why
jupyter-live-kernel scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST http://127.0.0.1:8888/api/sessions \ How it starts
The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kheish Compatibility
This skill is repo-local and stays inactive until explicitly activated.
When the original instructions refer to legacy tool names, use these Kheish mappings:
terminal=>bashweb_extract=>web_fetch, plusweb_searchwhen discovery is neededsearch_files=>grep_searchandglob_searchbrowser_*tools require a browser-capable surfaced tool or MCP; if none is available, use the closest available surface and say so explicitly
When the instructions mention local helper files, resolve them from ${KHEISH_SKILL_DIR}.
Jupyter Live Kernel (hamelnb)
Gives you a stateful Python REPL via a live Jupyter kernel. Variables persist
across executions. Use this instead of execute_code when you need to build up
state incrementally, explore APIs, inspect DataFrames, or iterate on complex code.
When to Use This vs Other Tools
| Tool | Use When |
|---|---|
| This skill | Iterative exploration, state across steps, data science, ML, "let me try this and check" |
execute_code |
One-shot scripts needing Kheish tool access (web_search, file ops). Stateless. |
terminal |
Shell commands, builds, installs, git, process management |
Rule of thumb: If you'd want a Jupyter notebook for the task, use this skill.
Prerequisites
- uv must be installed (check:
which uv) - JupyterLab must be installed:
uv tool install jupyterlab - A Jupyter server must be running (see Setup below)
Setup
This imported skill does not bundle the external hamelnb helper repository. Keep
the helper checkout separate from Kheish and point SCRIPT at that checkout:
SCRIPT="$HOME/.agent-skills/hamelnb/skills/jupyter-live-kernel/scripts/jupyter_live_kernel.py"
If not cloned yet:
git clone https://github.com/hamelsmu/hamelnb.git "$HOME/.agent-skills/hamelnb"
Starting JupyterLab
Check if a server is already running:
uv run "$SCRIPT" servers
If no servers found, start one:
jupyter-lab --no-browser --port=8888 --notebook-dir=$HOME/notebooks \
--IdentityProvider.token='' --ServerApp.password='' > /tmp/jupyter.log 2>&1 &
sleep 3
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 191 lines · 70 tokens per session scan A c3b4921c200f
jupyter-live-kernel is a skill published in the GitHub repository graniet/kheish (227 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 70 tokens to every session and 1,589 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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